Background: Urine cytology is a highly specific modality for diagnosing high-grade urothelial carcinoma (HGUC), but plagued by low sensitivity and wide inter-observer variability mainly ascribed to the lack of an established template of reporting. The Paris System (TPS) working group proposed such a template at the 2013 International Congress of Cytology, replete with objective criteria for categorising specimens into one of the seven categories: non-diagnostic, negative for HGUC, atypical urothelial cells, suspicious for HGUC, HGUC, low-grade urothelial neoplasm and others (including non-malignant entities). This study was undertaken to determine the impact of TPS criteria in the morphological interpretation of urine samples.
Methods: A total of 255 voided urine specimens from 97 patients who had follow-up biopsies were re-assessed according to TPS criteria and correlated with the final histological diagnosis.
Results: Sixty-three patients were diagnosed with HGUC, and 34 had low-grade papillary UC on biopsy. Earlier samples from 40 (41.2%) patients were categorised as merely "atypical" wheereas the "positive for malignancy" category was assigned to 33 (34%) patients. After re-evaluation of the same cases using TPS criteria, cytological features in 44 (69.8%) out of 63 HGUC patients were correctly recognised as HGUC and samples from additional seven patients were re-categorised as suspicious for HGUC (total 81%). The sensitivity of the HGUC category in predicting HGUC was 69.8% which rose to 81% when HGUC was grouped with suspicious for HGUC category.
Conclusion: The criteria outlined by TPS facilitated the standardisation of urine cytology reporting and significantly increased the sensitivity of diagnosing HGUC.
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http://dx.doi.org/10.1111/cyt.12448 | DOI Listing |
J Cytol
November 2024
Division of Laboratory Medicine, Steel Memorial Yawata Hospital, Kitakyushu City, Fukuoka, Japan.
Introduction: Urine cytology is a morphological diagnostic test that is, patient-friendly and easy to sample but subjective in morphological evaluation. This study aims to evaluate the effect of combining cell findings to assess urine cytology.
Materials And Methods: Thirty cell findings found in high-grade urothelial carcinoma (HGUC) were selected for morphological abnormalities, each with detailed definitions.
Diagn Cytopathol
December 2024
Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Introduction: Standardized pathology reports enhance completeness and readability, contributing to the overall improvement in the management of patients. The standardization of urine cytology reporting has gained widespread acceptance with the use of the Paris system (TPS) for reporting urinary cytology, primarily focused on detecting high-grade urothelial carcinoma (HGUC). The next phase at the Institute of Pathology, Medical Faculty, University of Ljubljana, was the implementation of TPS, including standardized additional findings on non-neoplastic changes, into a software-based standardized structured reporting (SBSSR) system.
View Article and Find Full Text PDFCancer Cytopathol
January 2025
Department of Pathology, Medical Faculty, Ankara Yildirim Beyazit University, Ankara, Turkey.
Background: Nuclear protrusions such as micronuclei (MNs) and nuclear budding (NB) are morphological findings of chromosomal instability and indicators of genotoxic damage. They are increased in malignancies, and their high frequency may be used in the diagnosis of cancers and the follow-up of patients. Urothelial carcinomas are common tumors that cause morbidity and mortality, and cytology is a commonly used method for the monitoring and screening of urothelial carcinoma.
View Article and Find Full Text PDFCytopathology
November 2024
Department of Pathology, All India Institute of Medical Sciences, New Delhi, India.
Objective: The objective of this study is to evaluate the diagnostic performance of urine cytology using The Paris System (TPS 2.0) in comparison with TPS 1.0, and the Four-Tier Reporting System (FTRS) of our institute for identifying high-grade urothelial carcinoma (HGUC).
View Article and Find Full Text PDFIn Vivo
October 2024
Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan, R.O.C.;
Background/aim: To evaluate efficacy of the AIxURO system, a deep learning-based artificial intelligence (AI) tool, in enhancing the accuracy and reliability of urine cytology for diagnosing upper urinary tract cancers.
Materials And Methods: One hundred and eighty-five cytology samples of upper urine tract were collected and categorized according to The Paris System for Reporting Urinary Cytology (TPS), yielding 168 negative for High-Grade Urothelial Carcinoma (NHGUC), 14 atypical urothelial cells (AUC), 2 suspicious for high-grade urothelial carcinoma (SHGUC), and 1 high-grade urothelial carcinoma (HGUC). The AIxURO system, trained on annotated cytology images, was employed to analyze these samples.
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